|Publication number||US7085747 B2|
|Application number||US 09/963,245|
|Publication date||Aug 1, 2006|
|Filing date||Sep 26, 2001|
|Priority date||Sep 26, 2001|
|Also published as||CN1254961C, CN1559142A, EP1433312A1, US20030061183, WO2003028368A1|
|Publication number||09963245, 963245, US 7085747 B2, US 7085747B2, US-B2-7085747, US7085747 B2, US7085747B2|
|Inventors||J. David Schaffer, Karen I. Trovato, Kaushal Kurapati|
|Original Assignee||J Koninklijke Philips Electronics, Nv.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (9), Referenced by (25), Classifications (31), Legal Events (5)|
|External Links: USPTO, USPTO Assignment, Espacenet|
1. Field of the Invention
This invention relates generally to media entertainment systems which use Electronic Program Guides (EPGs), and, more specifically, to a system and method of generating, for a particular time period, a suggested schedule of media presentations.
2. Description of the Related Art
An Electronic Program Guide (EPG) provides a visual display of media programming schedule information. Such media programming includes, but is not limited to, television shows (cable or broadcast), radio shows, and Webcasts (multicasts over the Internet). Typically, the media programming displayed is shown in real-time, i.e. the scheduling information shown is taking place currently or in the near future.
An exemplary EPG Graphical User Interface (GUI) is shown in
The EPG GUI has been described independently of any particular medium or output device because the concept of an EPG GUI is likewise independent of any particular medium or display device. However, a block diagram of the relevant functional modules in a conventional media entertainment system that employs an EPG GUI will now be described with reference to
Although communication means 215 is shown as a system bus in
Receiver/Tuner 220 receives the media content by communication means 215 and transmits one or more channels to output means 250. Examples of a receiver/tuner 220 include, but are not limited to, a stereo AM/FM receiver, a television UHF/VHF broadcast receiver embedded in a television set, a set-top box (STB) attached to a CATV cable line, a receiver/tuner incorporated into a computer, a web browser, etc. A web browser is appropriate in this context because a web browser “tunes in” a particular URL (Uniform Resource Locator) to receive media content, such as streaming real-time video. Furthermore, a web browser may be implemented in a PC (Personal Computer), a PDA (Personal Digital Assistant), a mobile terminal (e.g. a WAP-enabled cellular telephone), or any device with a network connection and a processor. A channel may be a “web channel” or the output of a television station, a radio station, or a computer server. Examples of output content on a channel include, but are not limited to, shows, movies, real-time audio/video feed, news text, graphics, images, etc. Examples of output means 250 include, but are not limited to, a television set, a computer or television monitor, a stereo speaker system, a holographic display, a screen on a PDA or mobile device, etc.
A controller 230 controls receiver/tuner 220 to select channels to be output on output means 250 and may control other components in
A Scheduling Information Source 260 provides scheduling information for the EPG that is generated for output means 250. In practice, the Scheduling Information Source 260 may be integral with the Media Source 210, e.g., scheduling data may be sent along with the channels in the form of an additional channel or as data multiplexed with individual channels. However, the Scheduling Information Source 260 may be a stand-alone server on the Internet or plugged into a CATV system. By contrast, the Scheduling Information Source 260 may also be multiple distributed information sources or downloaded locally from a portable storage means, such as a floppy disk. The scheduling information that is sent from the Scheduling Information Source 260 may be formatted for output on the output means 250, or may be unformatted, in which case the controller 230 would oversee the formatting of the scheduling information. Furthermore, the scheduling information may be continually broadcast or downloaded using a request/reply protocol, where the controller would request particular scheduling information as the occasion arose and the Scheduling Information Source 260 would reply with that particular scheduling information. Such a protocol might be used if the Scheduling Information Source 260 is implemented as multiple distributed information sources.
User Profile(s) Storage 270 stores records for one or more users who use output means 250. Each user profile record contains preference information regarding one or more users. Examples of preference information include, but are not limited to, preferred genre (e.g., horror, romance, westerns, etc.), preferred actor(s), preferred sports teams(s), scheduling information not to be shown (e.g., a parent might restrict a child's EPG not to show the schedules of R-rated material), preferred stations/channels (e.g., a TV channel, a website, a radio station, etc.), preferred events, relative standings of preferred events, and preferred keywords (e.g., for words that show up in the descriptive information). These preferences may be entered manually by the one or more users or compiled over time by monitoring the one or more users. The User Profile(s) Storage 270 may be stored locally or remotely.
The functional module description of
One improvement to this type of media system is the addition of Recommendation System 290, which suggest different channel events to the user. Recommendation System 290 may base its recommendations on generic recommendations (for any audience), such as the “Best Bets” of a newspaper, or on specific recommendations for a group or individual. Recommendation System 290 may be implemented locally, e.g., as a program run through Controller 230, or remotely, e.g. as a function performed at Media Source 210. Specific recommendations made to groups or individuals by Recommendation System 290 may be based on individual or group user preferences (either determined by preference monitoring or by direct preference input of the user or group). Exemplary recommendation values for different events on different channels are shown in Table 1, where higher numbers reflect events that have been determined to be preferred. As an example, the event E3 on channel 32, which is scheduled for transmission from 9:00 to 9:30, has a recommendation value of 60 out of 100. The event in the 7:30–8:00 time slot that would be recommended to a user is event E1 on channel 44 because it has the highest recommendation value (69).
One recommendation system is described in a patent application entitled Three-Way Media Recommendation Method and System (U.S. application Ser. No. 09/627,139, filed Jul. 27, 2000; hereinafter referred to as the “3-way system”), which is hereby incorporated by reference. In that system, a preference engine and processing system is used to combine three different profiles in order to generate recommendation values for each event. As shown in
The Implicit Module 320 maintains a user behavior profile based on background monitoring of the user's behavior 302. This background monitoring is performed within the system by tracking and recording what events the user watches, and how often. In other words, user behavior 302 is nothing more than what the user instructs receiver/tuner 220 to present to him and when. This may be implemented as a simple memory/database function. For example, the user always watches a particular show on Thursday night at 8 p.m. and the memory/database records this, after a certain period of time the correlation between that particular time slot and the particular event would exceed a threshold thus indicating a preference. As a result, Implicit Module 320 would maintain a high ranking for that show in that time slot.
The Explicit Rule Module 330 maintains a profile based on the user entering explicit rules 303, or attribute-value pairs, concerning viewing preferences. These explicit rules are more detailed and complicated than the direct event feedback 301 used in the Feedback Module 310. An example of an explicit rule would be that the user likes documentary programs about political figures, but, if a game involving the N.Y. Knicks basketball team is on television, the user would prefer watching that. Such attribute-value pairs need not be tied to any particular time slot or particular event.
The three modules, the Feedback Module 310, the Implicit Module 320, and the Explicit Rule Module 330, generate respective recommendations, Feedback Module Recommendations 315, Implicit Module Recommendations 325, and Explicit Rule Module Recommendations 335. These recommendations are combined by Combiner 340 in order to generate final recommendation values 350. Thus, each event will have a related recommendation value. The manner in which Combiner 340 combines the input recommendations is open to a wide variety of mathematical and algorithmic forms. For example, Combiner 340 may use suitable mathematical forms to appropriately weight different factors and/or profile recommendations, and then sum the resulting weighted recommendations.
The output per event of the 3-way system (and conventional recommendation systems) is a one-dimensional value that does not change during the time the event is broadcast. In other words, if the recommendation value of an event is 5 when the event begins, it is still 5 when the event is about to end. This is shown graphically in
An improvement over the limitations of one-dimensional recommendation values output by conventional recommendation systems is disclosed in the patent application entitled Recommender System using “Fuzzy-Now” for Real-Time Events (U.S. application Ser. No. 09/730,676 filed Dec. 6, 2000; hereinafter referred to as the “Fuzzy-Now system”), which is hereby incorporated by reference. In that disclosure, a “Fuzzy-Now” Function Module 295 is added to the system shown in
These Fuzzy-Now functions yield a weighting factor to be applied to current viewing recommendations. Because it is based on time, the Fuzzy-Now function typically varies over time and that variation is typically related to the starting and ending times for an event. An exemplary and simple Fuzzy-Now function for an event is shown in
The Fuzzy-Now function in
This is a simple Fuzzy-Now function because it merely has straight line slopes connecting key times of the event (the key times being f(tstart)=1, f(tend)=0, and f(twait
As an example of a more complex Fuzzy-Now function, event E1 on channel 32 between 7:30 and 8:00 in
However, neither of these systems address the impact of the personal schedule of the user on the user's personal preferences. In other words, the time the user arrives home and turns on the TV, the time the user turns off the TV on particular nights, has an effect on what the user may, or may not, enjoy. These incidents correlate with extra-media programming personal events in the user's life, such as meal time, bedtime, periodic meetings (P.T.A., cub scout, etc.), poker night, etc. Therefore, there is a need to receive the personal schedule of a user and incorporate the received personal schedule into the recommendation procedure. The schedule may be received by monitoring the personal schedule of the user or direct input by the user.
An object of the present invention is to provide a recommendation system and method that addresses the impact of the personal schedule of the user on the user's personal preferences.
Another object of the present invention is to provide a recommendation system and method and system that monitors the personal schedule of the user and incorporates the personal schedule into the recommendation system and method.
Yet another object of the present invention is to provide a recommendation system and method that integrates these two systems and extends the functionality of each.
These and other objects are achieved by an system and method for recommending a media presentation event to a user. According to one aspect of the invention, a personal schedule modification system and a personal schedule module are added to a recommendation system consisting of the combination of the 3-way system and Fuzzy-Now system. The personal schedule module either receives personal scheduling data (of correlations between user scheduling preferences and events) directly input by the user or detects and records correlations between user actions, such as turning on and off the TV set, and media programming events. An appropriate weighting factor is generated for the events in the correlation. When a correlation is recognized, the appropriate weighting factor is applied to the Fuzzy-Now recommendation function of the events in the recognized correlation.
Other objects and features of the present invention will become apparent from the following detailed description considered in conjunction with the accompanying drawings. It is to be understood, however, that the drawings are designed solely for purposes of illustration and not as a definition of the limits of the invention, for which reference should be made to the appended claims. It should be further understood that the drawings are not necessarily drawn to scale and that, unless otherwise indicated, they are merely intended to conceptually illustrate the structures and procedures described herein.
In the drawings:
The present invention is directed to a system and method of making recommendations by using the combination of the Fuzzy-Now system, the 3-way system, and the personal schedule of the user. The personal schedule may be generated by monitoring the user's behavior or by direct input. When monitoring user behavior, the system and method records incidents (including single actions, recurring actions, or intermittent actions) in the personal schedule of the user, and uses these incident records to modify how the Fuzzy-Now recommendation functions are being calculated.
By monitoring incidents, the present system and method can incorporate the personal schedule of the user into the recommendation procedure, and, thus, even more accurately reflect the personal preferences of the user. How this is done will become clear in the description of the presently preferred embodiments below.
In the presently preferred embodiment of the system according to the present invention, the Fuzzy-Now system and the 3-way system are combined as shown in
In the Fuzzy-Now system, the Fuzzy-Now functions (e.g.,
In embodiments where user 300 is monitored, events, or “incidents”, are recorded and incorporated into the personal schedule maintained by Personal Schedule Module 910. Similarly to the Fuzzy-Now Recommendation System 860, Personal Schedule Module may use some of the functionality of the 3-way system to monitor user 300, or to generate and update the personal schedule. User 300 is monitored by sensors directly connected to the media presentation system and/or placed separately from the media presentation system. The events, or incidents, in the personal schedule of the user are monitored by these sensors in order either to augment or to generate the personal schedule. In one embodiment, the sensor comprises a simple memory/database module attached to receiver/tuner 220. The module would record when the user turns on and off the receiver/tuner 220. In such an embodiment, the assumption is made that the turning on and off of receiver/tuner 220 corresponds to different incidents. For example, if during the week the user always turns on the receiver/tuner 220 at 6 p.m. and watches event X at 7:30 p.m. except when the user turns on receiver/tuner 220 at 7:15 p.m. and watches event Y at 7:30 p.m., the system assumes from this recurring action that the recommendation function for events X and Y will vary depending on when the receiver/tuner was turned on. As another example, the user may turn off the TV set at 10:30 p.m. on Thursdays, except when an old movie is playing. In this example, the recommendation functions will vary depending on when the TV set is turned off.
In another embodiment, the sensors for recording incidents may comprise sensors that actually indicate when a user arrives home, such as an electronic monitor that is triggered when the front door is opened or a light turned on, or a physical-presence sensor such as an IR detector used in home security, etc. A wakeup time or bedtime may be determined by electronically readable settings such as may be read from some televisions. In such an embodiment, monitored incidents comprise the time a TV is turned on or off and the day of the week, and, if there are multiple TVs in the household, which TV is turned on. In an embodiment with multiple TV monitoring, the system may try to correlate preferences to which TV is used. For example, a user may prefer to watch the nightly news when watching the TV set in the bedroom at around 11 p.m., because the user is about to fall asleep. But, if the user is watching the TV set in the living room at around 11 p.m., the user may be restive and desire to watch a movie. Through monitoring over a period of time, the correlation between which event or class of events is preferred (news or movies) and the recurring action (the particular TV set being turned on—either bedroom or living room) would exceed a threshold thus indicating a preference. As a result, the Personal Schedule Module 910 would maintain a different weighting factor for news shows and movies depending on which receiver/tuner was turned on.
The Personal Schedule Modification System 920, using the personal schedule maintained by the Personal Schedule Module 910, modifies the Fuzzy-Now Recommendation Functions 870 in order to create Final Recommendation Functions 930. Examples of this are demonstrated in
A more complex example is shown in
Because of this difference in recently monitored incidents, the system will generate different recommendation functions in
By contrast, in
The next steps in the method are performed by the Personal Schedule Modification System, as indicated by dashed line box 1225. In step 1220, the Personal Schedule Modification System determines if at least one weighting factor needs to be applied to at least one Fuzzy-Now recommendation function. If it is determined that at least one weighting factor needs to be applied to at least one Fuzzy-Now recommendation function, the Personal Schedule Modification system applies the appropriate at least one weighting factor to the at least one Fuzzy-Now recommendation function in step 1230. In step 1240, the Personal Schedule Modification System outputs the final recommendation functions, comprised of appropriately weighted Fuzzy-Now recommendation functions and unmodified Fuzzy-Now recommendations (being unmodified because weighting factors did not need to be applied). The event with the highest instantaneous recommendation value at the requested query time in its final recommendation function is selected as the recommended event in step 1250 and the method ends in step 1260.
Thus, the inventive system and method accounts for the impact of the personal schedule of the user on the user's personal preferences. By tracking incidents over time, the system and method can determine when events need to be treated differently based on a recent incident. Recurring incidents, such as monthly cub scout meetings, dinner time, bed time on different days of the week, wake up time on different days of the week, etc., may be matched with altered user preferences caused by such recurring incidents. As discussed in reference to
This system and method effectively incorporates the personal schedule into the recommendation procedure. The invention is not limited by the embodiments described above which are presented as examples only but can be modified in various ways within the scope of protection defined by the appended patent claims.
While there have shown and described and pointed out fundamental novel features of the invention as applied to a preferred embodiments thereof, it will be understood that various omissions and substitutions and changes in the form and details of the devices illustrated, and in their operation, may be made by those skilled in the art without departing from the spirit of the invention. For example, it is expressly intended that all combinations of those elements and/or method steps which perform substantially the same function in substantially the same way to achieve the same results are within the scope of the invention. Moreover, it should be recognized that structures and/or elements and/or method steps shown and/or described in connection with any disclosed form or embodiment of the invention may be incorporated in any other disclosed or described or suggested form or embodiment as a general matter of design choice. It is the intention, therefore, to be limited only as indicated by the scope of the claims appended hereto.
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|U.S. Classification||706/12, 706/46, 348/E07.061, 706/14|
|International Classification||H04H20/00, H04N7/16, H04N21/45, H04N21/466, H04N21/442, H04N21/454, H04N21/475, G06F15/18, H04B1/06|
|Cooperative Classification||H04N21/4668, H04N7/163, H04N21/4662, H04N21/4755, H04N21/4532, H04N21/4756, H04N21/454, H04N21/44222, H04N21/44218|
|European Classification||H04N21/466L, H04N21/475R, H04N21/454, H04N21/45M3, H04N21/475P, H04N21/442E2, H04N21/442E1, H04N21/466R, H04N7/16E2|
|Sep 26, 2001||AS||Assignment|
Owner name: KONINKLIJKE PHILIPS ELECTRONICS N.V., NETHERLANDS
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SCHAFFER, J. DAVID;TROVATO, KAREN I.;KURAPATI, KAUSHAI;REEL/FRAME:012209/0649;SIGNING DATES FROM 20010921 TO 20010925
|Jul 7, 2008||AS||Assignment|
Owner name: PACE MICRO TECHNOLOGY PLC, UNITED KINGDOM
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KONINIKLIJKE PHILIPS ELECTRONICS N.V.;REEL/FRAME:021243/0122
Effective date: 20080530
Owner name: PACE MICRO TECHNOLOGY PLC,UNITED KINGDOM
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KONINIKLIJKE PHILIPS ELECTRONICS N.V.;REEL/FRAME:021243/0122
Effective date: 20080530
|Mar 8, 2010||REMI||Maintenance fee reminder mailed|
|Aug 1, 2010||LAPS||Lapse for failure to pay maintenance fees|
|Sep 21, 2010||FP||Expired due to failure to pay maintenance fee|
Effective date: 20100801